Remote Data Science and Data Analyst Jobs

Director of Data Science

WorkStep - US
Posted: a year ago

The Company:

WorkStep is the leading software provider of workforce retention and hiring solutions for the supply chain industry. We’re a Series A startup (backed by leading investors) who is disrupting the industry and changing the way companies have traditionally hired and retained their frontline supply chain workers.

Our mission is simple: to make the supply chain a better place to work. How? By helping companies within e-commerce, manufacturing, retail, CPG, transportation, and logistics make better-fit hires and improve their frontline workforce satisfaction and retention.

The Role:

WorkStep is a data-first company, and putting data to work is an aspect of everything we do. Our growing Data Science team (Analytics, Data Science, and Data Engineering) is a specialized, cross-functional group that collaborates with a variety of departments to drive decisions and provide direction for the company.

As Director of Data Science at WorkStep, you will be instrumental in continuing to build out the Data Science function within the organization and laying the foundations for accelerating the way we bring data and insights to our product and business operations. You will work directly with the CTO to develop a strong bench of talent, model our vast data repositories, and define mechanisms for bringing critical thinking to all corners of our business operations.

We are looking for a creative thinker who can develop and execute workable solutions to complex problems that will have an impact in days, instead of a perfect one that might require weeks. The ideal candidate has the acumen to leverage modern techniques to drive business value, but also the experience to bring rigor, maintainability, and scalability to our data operations.


  • Hire, develop, and lead a team of top talent data scientists and engineers
  • Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions.
  • Partner and influence leadership to ensure team priorities and output directly impacts company strategy, direction and growth.
  • Own the raw data sources and modeling layers that power Business Intelligence for BizOps and Finance
  • Collaborate closely with Product Engineering in a formal Data Review to ensure the accuracy and integrity of any productionalized analytics.
  • Ultimately responsible for our data pipelines and warehouse.
  • Chief architect for how WorkStep develops, maintains, operationalizes, and integrates modern machine learning models into our various workflows.


  • MS/PhD degree in a quantitative field (computer science, applied math, economics, statistics, engineering) or equivalent industry experience
  • 3+ years people management experience in a technology setting
  • Expert command of SQL and mathematical programming (R, Matlab, Scikit, etc)
  • Significant experience with data warehousing (BigQuery, Redshift, Snowflake)
  • Significant experience operationalizing modern machine learning techniques
  • Experience with Python and common analytical libraries
  • Familiarity with ETL and data pipeline mechanisms
  • Extreme attention to detail
  • Comfortable in a smaller rapidly evolving early stage start-up environment working remotely
  • Passion for the WorkStep mission


WorkStep is a fully remote company, meaning our team can work from where it suits them—whether that's East Coast or West Coast, in the mountains, or at the beach. We're a collaborative bunch who are focused on helping our customers succeed and deliver results, FAST. But we also know how to have fun and enjoy each other's company. Our benefits include:

  • Remote working environment
  • Unlimited PTO
  • Top-notch technology
  • Quarterly team building on-sites (when safe to resume)
  • Workspace, wellness, and L&D stipends
  • Competitive company-sponsored health, vision, and dental benefits package
  • Opportunity to join a passionate, motivated, and fun team at an early stage to help shape and execute on our mission

If you’re a collaborator who likes a challenge, who doesn’t mind rolling up their sleeves and getting stuck in, and wants to join a fast growing company at an early stage, we want to hear from you!

Data Science and Analyst